IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v11y2017i8p38.html
   My bibliography  Save this article

The Factors Affecting Eye Patients (Cataract) In Jordan by Using the Logistic Regression Model

Author

Listed:
  • Adeeb Rahamneh
  • Omar Hawamdeh

Abstract

This study aims to use the logistic regression model to classify patients as infected and without cataracts. The independent variables were used to represent the gender, the age, the pressure in the right eye, the pressure in the left eye, HbA1C, and the anemia, representative variables for the study of Cataract disease affects the eyes, based on a random sample of (116) patients. The results proved that the used logistic regression model is an efficient and representative for data that shows through (Likelihood Ratio Test) and (Hosmer and Lemeshow test), and the study proved that the value of (R Square Nagelkerke=1) this means that 100% of the change in the occurred changes in the response variable explained through the Logistic regression model.

Suggested Citation

  • Adeeb Rahamneh & Omar Hawamdeh, 2017. "The Factors Affecting Eye Patients (Cataract) In Jordan by Using the Logistic Regression Model," Modern Applied Science, Canadian Center of Science and Education, vol. 11(8), pages 1-38, August.
    • Handle: RePEc:ibn:masjnl:v:11:y:2017:i:8:p:38
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/69311/37680
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/69311
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:masjnl:v:11:y:2017:i:8:p:38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.